为解决传统雷达毁伤评估方法过于单一、评估准确性低的问题,引入D-S证据理论,提出了一种基于D-S证据融合的雷达毁伤评估模型。该模型将图像情报、电子情报、飞行员报告、无人机视频影像等多源信息作为证据体,利用证据向量余弦距离判断证据间的相似性,引入冲突比例因子决定冲突证据的修正方法,将修正后的证据代入D-S合成公式进行融合,从而降低了可信度低的证据给融合结果带来的不良影响。该模型充分利用了多源信息的优势,使融合后的雷达毁伤评估结果更加精确可靠。通过实验对比验证了该模型的有效性和准确性,为目标毁伤评估提供了一种新方法。 In order to solve the problem that the traditional radar damage assessment method is too simple and the assessment accuracy is low, a D-S evidence theory is introduced and a radar damage assessment model based on D-S evidence fusion is proposed. The model uses multi-sourced information such as image intelligence, electronic intelligence, pilot reports and drone video images as the evidence body, uses the cosine distance of evidence vector to judge the similarity between evidences, and introduces the correction method of conflicting scale factor to determine conflict evidence. After the evidence into the DS synthesis formula for integration, thereby reducing the credibility of the evidence to the fusion result of the adverse effects. The model makes full use of the advantages of multi-sourced information and makes the fused radar damage assessment result more accurate and reliable. The validity and accuracy of this model are verified through experimental comparison, which provides a new method for target damage assessment.